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面向影视创作的AIGC可控生成与溯源技术进展研究

王岚君 李英健 宋丹

现代电影技术Issue(5):4-12,9.
现代电影技术Issue(5):4-12,9.DOI:10.3969/j.issn.1673-3215.2026.05.001

面向影视创作的AIGC可控生成与溯源技术进展研究

Research on advances in controllable generation and traceability technology of AIGC for film and television production

王岚君 1李英健 1宋丹2

作者信息

  • 1. 天津大学新媒体与传播学院,天津 300072
  • 2. 天津大学电气自动化与信息工程学院,天津 300072
  • 折叠

摘要

Abstract

Film and television production is a complex endeavor that integrates individual artistic expression with systemic industrial characteristics.While artificial intelligence generated content(AIGC)has introduced unprecedented creative vital-ity and enhanced production efficiency,it has also presented critical challenges concerning precise controllability,copyright ambiguity,and regulatory compliance.From the perspective of film and television industrialization,this paper systematically constructs a framework for controllable visual generation and content provenance protocols.By analyzing the implementa-tion pathways of these two technical domains throughout the production lifecycle,this study explores a path for the compli-ant integration of AIGC into professional film workflows.The findings suggest that AIGC serves not as a disruptive substi-tute for human creativity,but rather as a human-AI collaborative paradigm that facilitates industrial upgrading.It is impera-tive for practitioners to maintain their creative agency while leveraging controllability and robust watermarking technologies to establish a foundation for industrial trust and regulatory compliance.Ultimately,this synergy aims to achieve the high-quality,leapfrog development of the film industry through the liberation of creative potential and systemic optimization of production efficiency.

关键词

影视工业化/人工智能生成内容(AIGC)/可控生成/内容溯源/数字水印

Key words

Film and Television Industrialization/Artificial Intelligence Generated Content(AIGC)/Controllable Generation/Content Provenance/Digital Watermarking

分类

社会科学

引用本文复制引用

王岚君,李英健,宋丹..面向影视创作的AIGC可控生成与溯源技术进展研究[J].现代电影技术,2026,(5):4-12,9.

基金项目

国家自然科学基金面上项目"可溯源的精准图像生成关键技术研究"(62571369). (62571369)

现代电影技术

1673-3215

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